论文标题
通过Fréchet成立距离进行反向传播
Backpropagating through Fréchet Inception Distance
论文作者
论文摘要
Fréchet成立距离（FID）已用于评估数百种生成模型。我们介绍了FastFID，可以有效地将其作为损失函数训练生成模型。使用FID作为生成对抗网络的额外损失可以改善其FID。
The Fréchet Inception Distance (FID) has been used to evaluate hundreds of generative models. We introduce FastFID, which can efficiently train generative models with FID as a loss function. Using FID as an additional loss for Generative Adversarial Networks improves their FID.
